AI Implementation & Automation Engineer

Position Summary:
- We are hiring an AI Implementation and Automation Engineer to help a growing U.S.-based company identify, build, and scale AI-powered solutions across its business operations.
- This is a hands-on technical role combining AI development, business process automation, systems integration, and operational efficiency.
- We are looking for someone who can understand how an entire business process works, identify inefficiencies, and design, develop, implement, and maintain AI-driven solutions from the ground up.
- You will work closely with leadership, development, and operations teams to improve existing systems, automate repetitive tasks, and build scalable solutions that deliver measurable business results.
- This is a technical builder role requiring the independent evaluation of business problems, development of solutions, and ongoing performance management.

Key Responsibilities:
- Analyze business processes and identify opportunities for AI and automation.
- Design and implement AI agents, automated workflows, and system integrations.
- Connect CRMs, APIs, databases, and third-party platforms.
- Improve operational efficiency by reducing repetitive manual work.
- Build scalable, reliable solutions that support multiple departments.
- Test, troubleshoot, monitor, and maintain implemented automations.
- Document technical architecture, workflows, integrations, and dependencies.
- Measure the business impact and ongoing performance of implemented solutions.

Business Process Analysis and Automation Strategy:
- Audit existing workflows across departments, starting with Inside Sales.
- Map end-to-end business processes to understand how information, tasks, and decisions move between teams.
- Identify bottlenecks, redundant tasks, manual data entry, and operational inefficiencies.
- Evaluate which processes can be improved through AI, automation, or system integrations.
- Recommend solutions based on technical feasibility, implementation effort, and expected business impact.
- Develop implementation roadmaps with clear priorities, milestones, and deliverables.

AI Development and Implementation:
- Design and implement automated workflows across multiple business platforms.
- Integrate APIs, CRMs, databases, and third-party applications.
- Build and maintain reliable data flows between systems.
- Automate lead management, CRM updates, follow-ups, appointment workflows, and internal handoffs.
- Collaborate with development teams to extend, improve, or rebuild existing systems when necessary.
- Identify opportunities to consolidate tools and simplify operational processes.

Workflow Automation and Systems Integration:
- Test AI agents, integrations, and automation workflows before deployment.
- Troubleshoot errors, failed workflows, and data inconsistencies.
- Monitor implemented solutions to ensure reliability and performance.
- Maintain and improve automations as business requirements evolve.
- Identify potential risks, system dependencies, and operational vulnerabilities.
- Evaluate AI usage, API consumption, and operating costs to maintain cost-effective solutions.

Technical Documentation and Project Ownership:
- Document system architecture, automation logic, workflows, and integrations.
- Maintain clear records of dependencies, configurations, and system ownership.
- Manage implementation projects from discovery through deployment.
- Communicate progress, timelines, risks, and recommendations proactively.
- Collaborate with technical and nontechnical stakeholders.
- Ensure solutions can be maintained and scaled over time.

Required Qualifications and Skills:
- Proven experience building and implementing AI-powered workflows and business automations in real-world environments.
- Strong programming and technical development skills, with the ability to build solutions from scratch.
- Hands-on experience with APIs, system integrations, data flows, and workflow automation.
- Experience developing, testing, deploying, and maintaining technical solutions.
- Strong understanding of business process analysis and operational optimization.
- Ability to analyze complex workflows and translate business requirements into technical solutions.
- Strong troubleshooting, debugging, and problem-solving skills.
- Experience working with CRMs, databases, and third-party applications.
- Ability to independently manage implementation projects and take ownership of results.
- Strong technical documentation skills.
- Excellent organizational skills and attention to detail.
- Strong written and spoken English for collaboration with U.S.-based teams.
- Proactive communication and ability to work with both technical and nontechnical stakeholders.

Preferred Qualifications:
- Experience building LLM-powered applications and autonomous or semi-autonomous AI agents.
- Experience with Claude Code or comparable AI-assisted development tools.
- Experience with Python, JavaScript, or TypeScript.
- Familiarity with automation platforms such as n8n, Make, or Zapier.
- Experience with GoHighLevel or other CRM platforms.
- Experience with webhooks, databases, and custom API integrations.
- Familiarity with LLM APIs, prompt engineering, and AI orchestration frameworks.
- Experience implementing AI solutions in sales operations or lead-generation environments.
- Experience in U.S. real estate or other sales-driven businesses.
- Experience collaborating with internal software development teams.

Work Setup Requirements:
- Reliable high-speed internet connection.
- Personal work laptop or desktop computer.
- Quality headset for calls and communication.
- Dedicated workspace free from distractions and background noise.

Location: Remote - Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela

Skills required for this job:

• AI agents
• AI automation
• AI-assisted development tools
• API integration
• Automation platforms
• Customer relationship management (CRM)
• Databases
• Process analysis
• Programming
• Prompt engineering
• Sales operations
• Systems Integration
• Technical documentation
• Troubleshooting
• Workflow automation